Introduction

The corpus that will be used for this project is the top 50 of multiple countries on Spotify that has an available top 50. This is an interesting corpus because it can show the differences and similarities between popular music in many different places across the world. The comparison points can be either countries, regions, or continents. This flexibility is another advantage of the corpus. The limitations of this corpus are the fact that recent releases or events can influence music worldwide and can push music to the top of many top 50 lists while not saying much about the differences between places (such as the recent release of Kanye West having multiple songs in multiple different top 50 lists). Another limitation is the fact that multiple countries might not use Spotify as their main source of music, so this could influence regional trends in a way that makes them not representative of the population of the country as a whole. A final weakness is the fact that this corpus changes daily, so it can be hard to look into individual tracks since they will probably be gone after a certain time. Finally, it is difficult to pick specific interesting tracks in this corpus due to the sheer number of tracks (3600) in it. But some that may be interesting at first glance are CARNIVAL (Kanye West), Cruel Summer (Taylor Swift), Unwritten (Natasha Bedingfield) and I Wanna Be Yours (Arctic Monkeys). This Kanye West song and many others of his (very) recent album are interesting because they can be found in nearly every top 50 list. The other three songs are mostly interesting because they are older songs that are still found in multiple top 50 lists across the corpus.

Release date of the songs

Acousticness

Acousticness shows an interesting trend, it seems like all the English-speaking countries and the Netherlands prefer less acoustic songs, Morocco likes acoustic music the most by far and their regional music seems to have more acoustic elements which reflects that preference.

Danceability

It seems like there are no strong regional trends in danceability between countries, Morocco has a slightly higher than average danceability preference and Philippines a slightly below average preference for danceability.

Energy

Brazil, the Netherlands and the UK prefer music with more energy, which might mean that South-America and Europe in general like more energetic music. The Philippines is far below average in the energy level of their music, this seems to be a strong regional preference.

Liveness

It seems like live music is not really all that popular in any country, on average very popular music is nearly always very polished and thus not live. Only Brazil seems to have a significant number of tracks that have a higher value in liveness, which says something about the type of music they prefer. Brazil seems to care less about the polish of typical pop music and they may appreciate the more “real” live sound.

Loudness

This graph is very similar to the energy graph, with the same countries on top and at the bottom. One major difference that can be found is that Brazil has a way higher average than second place, in energy the difference was smaller. This again seems to be regional preference.

Speechiness

This graph is very similar to liveness, popular music usually has little to no speech since that is a feature that just doesn’t occur in very popular songs in general. But again there are exceptions, Morocco and Brazil do seem to have a significant amount off tracks that have some amount of speechiness which says something about the regional music they prefer.

Tempo

It’s very interesting to see that there really seems to be an optimal tempo for a song to become popular regardless of region, only in Brazil is the average preferred tempo a bit higher which makes sense when considering their preferrence for louder and more energetic music than average.

Valence

The average valence seems to be at or slightly below zero, which is surprising to me because you would expect popular music to be happier on average since people like music that makes them happy in general. However, Brazil and Morocco break this trend showing a clear preference for happier songs.

Description

This is a chroma graph of an outlier in the dataset: “Cruel Summer” by Taylor Swift, which is one of the oldest songs which is found in multiple top 50 lists.

Chroma analysis of an outlier

Structure similarity matrix of an outlier

Description

These are two self similarity matrices of “Cruel Summer” by Taylor Swift, these similarity matrices show both Chroma and Timbre.

Description

This chordogram shows the chords in “End of Beginning” by Djo, this song shows six clear sections. This is a typical feature of many popular songs in the corpus, because the very similar sections are the chorus returning three times which seems to be a key feature in creating a popular songs.

Chordogram